依据yolo大作战yolov5模型转换出来的，在转换成功后带入yolo大作战例程，出现下面问题如何解决
from libs.PipeLine import PipeLine, ScopedTiming
from libs.YOLO import YOLOv5
import os,sys,gc
import ulab.numpy as np
import image
if name=="main":
# 显示模式，默认"hdmi",可以选择"hdmi"和"lcd"
display_mode="hdmi"
rgb888p_size=[1280,720]
if display_mode=="hdmi":
display_size=[1920,1080]
else:
display_size=[800,480]
# 模型路径
kmodel_path="/data/best.kmodel"
labels = ["1","2","3","4","5","6","7","8"]
confidence_threshold = 0.5
model_input_size=[640,640]
# 初始化PipeLine
pl=PipeLine(rgb888p_size=rgb888p_size,display_size=display_size,display_mode=display_mode)
pl.create()
# 初始化YOLOv5实例
yolo=YOLOv5(task_type="detect",mode="video",kmodel_path=kmodel_path,labels=labels,rgb888p_size=rgb888p_size,model_input_size=model_input_size,display_size=display_size,conf_thresh=confidence_threshold,debug_mode=0)
yolo.config_preprocess()
try:
while True:
os.exitpoint()
with ScopedTiming("total",1):
# 逐帧推理
img=pl.get_frame()
res=yolo.run(img)
yolo.draw_result(res,pl.osd_img)
pl.show_image()
gc.collect()
except Exception as e:
sys.print_exception(e)
finally:
yolo.deinit()
pl.destroy()
